Data Loss Prevention (DLP)
Manchester > Ashton-under-Lyne
The table below provides summary statistics and salary benchmarking for jobs advertised in Ashton-under-Lyne requiring Data Loss Prevention skills. It covers permanent job vacancies from the 6 months leading up to 29 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 29 May 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 5 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Data Loss Prevention | 1 | 0 | 0 |
| As % of all permanent jobs in Ashton-under-Lyne | 7.69% | - | - |
| As % of the Processes & Methodologies category | 7.69% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £49,000 | - | - |
| Median annual salary (50th Percentile) | £51,000 | - | - |
| 75th Percentile | £53,000 | - | - |
| 90th Percentile | - | - | - |
| Manchester median annual salary | £62,500 | £46,500 | £60,000 |
| % change year-on-year | +34.41% | -22.50% | -6.61% |
All Process & Methodology Skills
Ashton-under-Lyne
Data Loss Prevention falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Ashton-under-Lyne.
| Permanent vacancies with a requirement for process or methodology skills | 13 | 11 | 7 |
| As % of all permanent jobs advertised in Ashton-under-Lyne | 100.00% | 100.00% | 100.00% |
| Number of salaries quoted | 5 | 0 | 7 |
| 10th Percentile | - | - | £30,550 |
| 25th Percentile | £26,500 | - | £36,250 |
| Median annual salary (50th Percentile) | £42,500 | - | £37,500 |
| 75th Percentile | £43,750 | - | £40,125 |
| 90th Percentile | £49,300 | - | £44,400 |
| Manchester median annual salary | £60,000 | £57,500 | £52,500 |
| % change year-on-year | +4.35% | +9.52% | -8.70% |
Data Loss Prevention
Co-Occurring Skills & Capabilities in Ashton-under-Lyne by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: